Описание

ServiceNow's Advanced Technology Group is building intelligent software and AI-powered work experiences, combining AI workers, workflows, chat, knowledge, and integrations to make complex enterprise operations accessible to everyday users. They are looking for an experienced frontend engineer who cares deeply about product quality to turn complex, nondeterministic AI behavior into fast, clear, and trustworthy user experiences across web application and embedded enterprise surfaces.

Responsibilities

Build AI-native experiences for chat, workflows, integrations, approvals, and knowledge
Own customer-facing features from product definition through implementation, testing, release, and iteration
Create scalable components and shared product capabilities across the main application and ServiceNow experience
Design reliable realtime and asynchronous interfaces, including streaming, partial results, retries, interruptions, and failures
Own frontend foundations such as shared packages, build tooling, dependency upgrades, and CI
Keep the frontend healthy over time by improving architecture, performance, developer experience, and maintainability
Improve accessibility, responsiveness, performance, observability, and product polish
Work closely with product, design, backend, and AI engineers while independently driving execution
Help evolve engineering practices as AI changes how software is designed and built

Requirements

Strong React and TypeScript fundamentals with experience building high-quality customer-facing products
A track record of driving meaningful features end to end, not only incremental changes
Strong product judgment: caring about clarity, speed, accessibility, and details, and speaking up when an experience is not good enough
Experience with asynchronous server state, typed APIs, complex forms, realtime events, and failure handling
Ability to design maintainable boundaries between applications, shared features, UI primitives, and API clients
Experience maintaining frontend infrastructure, package ecosystems, build pipelines, and large codebases
Experience with automated testing and confidence in owning production outcomes
Comfort working with autonomy in a fast-moving environment with limited process overhead
Hands-on AI Development Lifecycle (ADLC) experience: having shipped software using AI across discovery, design, implementation, testing, review, documentation, and production debugging
Knowledge of how to validate AI-generated work, define evaluations and regression criteria, manage context, and account for nondeterminism, hallucinations, latency, cost, privacy, and security
Understanding of prompts, tool calls, structured outputs, approvals, and model failure modes for designing trustworthy AI user experiences
Comfortable working with cloud-based systems (AWS, Kubernetes)

Nice to have

Experience with rich-text editors, design systems, Web Components, Shadow DOM, ServiceNow, or AI automation products

We offer

Full-time employment
Flexible work persona

Hiring process

To apply, contact ••• for assistance if unable to use the online application and need an alternative method to apply